An identification-based computing-power resources co-allocation platform

Jinjing An; Li Gong; Zhuo Zou; Ning Ma; Li-Rong Zheng

doi:10.1117/12.3050961

27 September 2024 An identification-based computing-power resources co-allocation platform

Jinjing An, Li Gong, Zhuo Zou, Ning Ma, Li-Rong Zheng

Proceedings Volume 13281, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2024); 1328105 (2024) https://doi.org/10.1117/12.3050961
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning, 2024, Zhengzhou, China

Abstract

With the rapid development of Artificial Intelligence (AI) technology, the demand for various types of computing-power, such as Central Processing Unit (CPU), Graphics Processing Unit (GPU), Neural Processing Unit (NPU), Tensor Processing Unit (TPU), and Field-Programmable Gate Array (FPGA), has been increasingly growing to accommodate diverse data processing tasks. To enhance the efficiency of computing-power provisioning, addressing the current imbalance between supply and demand, the computing-power awareness architecture has been developed utilizing a domain-based collaborative topology. This architecture ensures a balanced network, robust fault tolerance, and straightforward system management and maintenance. Identification resolution and trusted authentication technology are applied to co-allocate heterogeneous com-puting-power resources (CPR), providing a unified interaction and sharing platform for various business needs.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jinjing An, Li Gong, Zhuo Zou, Ning Ma, and Li-Rong Zheng "An identification-based computing-power resources co-allocation platform", Proc. SPIE 13281, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2024), 1328105 (27 September 2024); https://doi.org/10.1117/12.3050961

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